similar to: Package ddalpha is not building for me in R 3.5.0

It looks like you made a copy/paste error below. Your ata.frame should be data.frame. Kevin On 05/04/2018 08:18 AM, Bill Poling wrote: > Good morning. > > Novice usR. Here. > > I am following this string, among many, learning as I go. > > Quick question please? > > I thought that perhaps ata.frame was part of the zoo pkg, b/c when I > searched it came up in

I suspect the main difficulty the OP is having is building R with shlib support. Steve, can you build from source without the --enable-R-shlib flag on configure? Kevin On 05/23/2018 01:58 PM, Ista Zahn wrote: > On Tue, May 22, 2018 at 6:47 PM, Steve Gutreuter <sgutreuter at gmail.com> wrote: >> I would love to hear from anyone who has successfully built 3.5.0 under >>

> x1 <- do.call(rbind, c(x, list(make.row.names=FALSE))) > x2 <- cbind(type=rep(names(x), vapply(x, nrow, 0)), x1) > str(x2) 'data.frame': 4 obs. of 3 variables: $ type: Factor w/ 2 levels "A","B": 1 1 2 2 $ x : int 1 2 5 6 $ y : int 3 4 7 8 Bill Dunlap TIBCO Software wdunlap tibco.com On Wed, May 2, 2018 at 10:11 AM, Kevin E. Thorpe

>>>>> David L Carlson <dcarlson at tamu.edu> >>>>> on Wed, 2 May 2018 21:43:52 +0000 writes: > Typo: dat[[z]] should be x[[z]]: > > x2 <- do.call(rbind, lapply(names(x), function(z) > data.frame(type=z, x[[z]]))) > x2 > type x y > 1 A 1 3 > 2 A 2 4 > 3 B 5 7 > 4 B 6 8 > >

On Wed, 2 May 2018, Kevin E. Thorpe wrote: > I suspect this is pretty easy, but I'm having trouble figuring it out. > Basically, I have a list of data frames such as the following example: > > list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) > > I would like to turn this into data frame where the list elements are > essentially rbind'ed together and the

I wish to second this approach to learning R. I tried for several years to translate other stat programs or provide parallel analyses with R. This dabbling-in-R approach did not work . When a transferred to a research unit that could ill afford commercial software, I devoted my entire time to doing everything in R. This was a difficult learning process, but I eventually became proficient

Good morning. Novice usR. Here. I am following this string, among many, learning as I go. Quick question please? I thought that perhaps ata.frame was part of the zoo pkg, b/c when I searched it came up in help? However, evidently not or I am not using it properly. Please advise, thank you. x <- list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) x2 <- do.call(rbind,

Hi Kevin, There is probably a better way, but it can be done in two steps like this temp <- list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) temp <- lapply(names(temp), function(n, temp) { temp[[n]]$type <- n return(temp[[n]]) }, temp = temp) do.call(rbind, temp) On Wed, May 2, 2018 at 1:11 PM, Kevin E. Thorpe <kevin.thorpe at utoronto.ca> wrote: > I suspect

Hello. One of my teaching assistants was experimenting and encountered unexpected behaviour with the lrtest function in the rms package. It appears that when you have a pair of non-nested models that employ an RCS, the error checking for non-nested models appears not to work. Here is a reproducible example. > library(rms) Loading required package: Hmisc Loading required package: lattice

Typo: dat[[z]] should be x[[z]]: x2 <- do.call(rbind, lapply(names(x), function(z) data.frame(type=z, x[[z]]))) x2 type x y 1 A 1 3 2 A 2 4 3 B 5 7 4 B 6 8 David C -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of David L Carlson Sent: Wednesday, May 2, 2018 3:51 PM To: William Dunlap <wdunlap at tibco.com>; Kevin E.

Another approach: ######## library(tidyr) L <- list( A = data.frame( x=1:2, y=3:4 ) , B = data.frame( x=5:6, y=7:8 ) ) D <- data.frame( Type = names( L ) , stringsAsFactors = FALSE ) D$data <- L unnest(D, data) #> Type x y #> 1 A 1 3 #> 2 A 2 4 #> 3 B 5 7 #> 4 B 6 8 ######## On Wed, 2 May 2018, Eivind K.

Thanks Bill for checking that. It was my impression that warnings are raised from some internal system calls made when quitting R. At that point I don't have much control over checking the return status of those. Your suggestion looks good to me. Tomas, do you think this could help? could this be implemented? On Mon, Nov 23, 2020 at 7:10 PM Bill Dunlap <williamwdunlap at gmail.com>

This is a quadratic programming problem that you can solve using either a quadratic programming solver with constraints or a general nonlinear solver with constraints. See https://cran.r-project.org/web/views/Optimization.html for more info on what is available. Here is an example using a nonlinear least squares solver and non-negative bound constraints. The constraint that the coefficients sum

Hello, I thought I'd add this to the mailing list, in case it could be handled smoother in a future release of R. > q() Save workspace image? [y/n/c]: n *** caught segfault *** address (nil), cause 'unknown' Possible actions: 1: abort (with core dump, if enabled) 2: normal R exit 3: exit R without saving workspace 4: exit R saving workspace Selection: 3 Error: no graphics

Or add the type column first and then rbind: x <- list(A=data.frame(x=1:2, y=3:4),B=data.frame(x=5:6,y=7:8)) x2 <- do.call(rbind, lapply(names(x), function(z) data.frame(type=z, dat[[z]]))) ---------------------------------------- David L Carlson Department of Anthropology Texas A&M University College Station, TX 77843-4352 -----Original Message----- From: R-help

Have you tried web searching on " R constrained linear regression" or similar. There seemed to be resources related to your issues when I looked. You might also search on rseek.org . There are apparently several packages that do regression with constraints, but I don't know if they fit your situation. Cheers, Bert Bert Gunter "The trouble with having an open mind is that

The call to system() probably is an internal call used to delete the session's tempdir(). This sort of failure means that a potentially large amount of disk space is not being recovered when R is done. Perhaps R_CleanTempDir() could call R_unlink() instead of having a subprocess call 'rm -rf ...'. Then it could also issue a specific warning if it was impossible to delete all of

There is also the package solrad that might do some of this. It is more intended for calculating solar radiation, which is probably not what you want, but may do other things you may find helpful. > On Jan 30, 2024, at 5:44?AM, Enrico Schumann <es at enricoschumann.net> wrote: > > On Tue, 30 Jan 2024, Richard O'Keefe writes: > >> Given >> - UTC timestamp

The nls2 package can be used to get starting values. On Thu, Apr 28, 2016 at 8:42 AM, Aleksandrovic, Aljosa (Pfaeffikon) <Aljosa.Aleksandrovic at man.com> wrote: > Hi Gabor, > > Thanks a lot for your help! > > I tried to implement your nonlinear least squares solver on my data set. I was just wondering about the argument start. If I would like to force all my coefficients to

As for other calls to system. I avoid calling system. In the past I had some (to get memory stats from OS), but they were failing with exactly the same issue. So yes, if I would add call to system before calling quit, I believe it would fail with the same error. At the same time I think (although I am not sure) that new allocations made in R are working fine. So R seems to reserve some memory and